It's Wednesday, May 13th: Claude Code turns your terminal into a dashboard for parallel sessions, OpenAI's Daybreak finds and patches vulnerabilities in one pipeline, and Google's new Android intelligence layer ships this summer with multi-app agentic execution baked in.
In Today’s Top Tools, we spotlight some of the most innovative, creative AI apps that we recommend adding to your stack.
🖥️ Claude Code Agent View, the Multi-Session Dashboard for Builders
Claude Code just shipped a multi-agent command center inside your terminal. Type claude agents and you get a live dashboard showing every background session: what each one is working on, which ones are waiting for you, and what's done.
How It Works:
A background supervisor process runs all your sessions independently, each in its own isolated git worktree, so parallel agents never overwrite each other's changes. You monitor everything from a single table: peek at a session, reply inline, or press Enter to drop into the full conversation. Each row shows the session's live state with a one-line summary generated by a Haiku-class model and refreshed as the work progresses.
What You Can Do:
Dispatch a bug fix, a PR review, and a log investigation all at once from one screen: each runs in full isolation with its own worktree
Peek at any waiting session and send a reply without switching windows or breaking your flow on another task
Background a live conversation mid-stream with /bg and pick it back up from the same dashboard
Filter the session list by state — type
s:blockedto surface every session waiting on you, ors:workingto see what's still running
Get Started:
Run claude agents in your terminal — requires Claude Code v2.1.139 or later (check with claude --version). Included with your existing Claude Pro, Max, Team, or Enterprise plan. Full documentation at code.claude.com/docs/en/agent-view.
🛡️ OpenAI Daybreak, AI-Powered Vulnerability Detection and Patch Validation
OpenAI launched Daybreak on May 11: a cyber defense platform that finds software vulnerabilities, generates code-level patches, and validates that the fix actually works, all without waiting for a human analyst to work through the backlog.
How It Works:
Daybreak uses GPT-5.5 and the Codex Security agent to build an editable threat model for your codebase, focused on realistic attack paths rather than generic CVE pattern matching. The agent runs exploit attempts in isolation to confirm what's actually exploitable, generates patches at the code level, and validates that each fix closes the attack vector before surfacing the result. The full pipeline cuts vulnerability analysis time from hours to minutes and returns audit-ready evidence directly to your systems.
What You Can Do:
Scan a repository for high-impact attack paths and get a prioritized report organized by exploitability, not just severity score
Generate and review AI-written patches for confirmed vulnerabilities directly from the Daybreak threat model
Validate that each proposed fix actually closes the attack vector in an isolated environment before it touches your production branch
Connect Daybreak to your CI/CD pipeline so new pull requests are scanned automatically on every push
Get Started:
Visit openai.com/daybreak to request access — OpenAI is onboarding enterprise partners first. Three model tiers at launch: GPT-5.5 for general enterprise, GPT-5.5 Trusted Access for defensive security workflows, and GPT-5.5-Cyber for authorized red-teaming. Pricing not yet public.
🚀 Humans in AI Week is coming.
This June, AIC is hosting 100+ events in one week, all built around a single question: what does it mean to be human in the AI era? It's the largest human-centered AI gathering we've ever run, across every chapter, on six continents.
Read the announcement, and pledge your voice below.
📱 Gemini Intelligence for Android, Google's Agentic OS Layer Launching This Summer
Google announced Gemini Intelligence at The Android Show on May 12: AI woven into Android's own task execution layer. Starting summer 2026 on Samsung Galaxy and Pixel phones, it runs multi-step workflows across installed apps, builds home screen widgets from a plain-text description, and converts natural messy speech into clean polished messages.
How It Works:
Gemini Intelligence integrates with Android's native app layer and executes multi-step actions across multiple apps in a single chain: not just within one app at a time. Users confirm before any action is taken, so the AI acts as a coordinator rather than an autonomous executor. The same intelligence layer expands to Wear OS, Android Auto, glasses, and laptops later in 2026, making it a single development target across the entire Android device ecosystem.
What You Can Do:
Give Android a multi-app instruction: book a ride, find course materials, complete a checkout, and let it chain the steps across apps without manual switching
Describe a home screen widget in plain text using Create My Widget and have Android build and place it automatically, on phone and Wear OS
Dictate messages naturally: with filler words, self-corrections, and mid-sentence language switches, and have Rambler turn them into clean, polished text
Use Gemini in Chrome to compare prices, book appointments, or complete parking reservations from any website, no extra app required (rolling out late June)
Get Started:
Gemini Intelligence rolls out summer 2026 on the latest Samsung Galaxy and Google Pixel phones, free with Android. Start building for the platform now at developer.android.com/ai.
✍️ REGISTER NOW: Ship LinkedIn Videos in Under 1 Hour
In our recent flagship session with Eileen Wu and Descript CEO Laura Burkhauser, there was strong interest in a more hands-on workshop for tech leaders to create video content quickly.
This next virtual session on Thursday, May 21 is designed as that next step. Join Eileen Wu (AI Collective, Mavryx) and Trevor Howell (Descript) at 12 PM PDT / 3 PM EDT.
You’ll leave with:
A repeatable setup that takes the busywork out of every video
Cleaner audio and tighter cuts without switching between tools
A version of you on camera that still sounds like you
A finished video ready to publish
If you missed our flagship conversation, you can find more takeaways here.
Join us to learn the workflow leaders are using to ship a LinkedIn video in under an hour.
In this section, we feature a few standout opportunities leading AI companies, non-profits, and other organizations. Each role is selected for impact and relevance to our community.
🔬 Work at a Lab/AI Safety
Roles at frontier labs, safety organizations, and research institutions
RESEARCH ENGINEER, AI OBSERVABILITY — Anthropic | San Francisco, CA ($320,000–$405,000)
RESEARCH ENGINEER, FRONTIER SAFETY RISK ASSESSMENT — Google DeepMind | SF / NYC / London ($136,000–$245,000 + Bonus + Equity)
RESEARCH ENGINEER, MACHINE LEARNING — Mistral AI | Paris / London / Zürich / Warsaw (Competitive Salary + Equity)
RESEARCH ENGINEER / RESEARCH SCIENTIST, MODEL TRANSPARENCY — UK AI Security Institute | London (£65,000–£145,000)
SUB TEAM LEAD, RED TEAM (CONTROL) — UK AI Security Institute | London (£105,000–£145,000)
🚀 Work in Industry
Roles at funded AI startups and private companies
APPLIED AI ENGINEER — Future | Remote ($215,000–$250,000 + Equity)
MACHINE LEARNING ENGINEER, LLM EVALS & OBSERVABILITY — Glean | San Francisco, CA ($200,000–$300,000 + Equity)
SENIOR AI/ML ENGINEER (LLMs) — EvolutionIQ | New York / Remote ($185,000–$235,000 + Equity)
AI RESEARCHER, CORE ML — Together AI | San Francisco, CA ($200,000–$280,000 + Equity)
ML RESEARCH ENGINEER, ML SYSTEMS — Scale AI | San Francisco, CA (Competitive Salary + Equity)
🏛️ Work in AI Policy / Governance
Roles in government, think tanks, NGOs, and policy organizations
SENIOR ANALYST/COUNSEL, AI GOVERNANCE — Future of Privacy Forum | Washington, DC ($115,000–$140,000)
(SENIOR) POLICY ADVISOR — ControlAI | Washington, DC ($90,000–$160,000)
FRONTIER AI RESEARCH LEAD — CSET at Georgetown | United States ($100,000–$190,000)
DATA SCIENTIST — CSET at Georgetown | Washington, DC (Competitive Salary · deadline June 1)
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About Noah Frank
Noah is a researcher, innovation strategist, and ex-founder thinking and writing about the future of AI. His work and body of research explores the economics of emerging technology and organizational strategy.
About Joy Dong
Joy is a news editor, writer, and entrepreneur at the intersection of AI and blockchain. Whether she is demystifying complex systems in her newsletter, TEA, or building streamlined solutions through her automation agency, Ownly, Joy’s mission is to make emerging tech accessible and actionable for everyone.